Cyclic cycle systems of the complete multipartite graph

In this paper, we study the existence problem for cyclic $\ell$-cycle decompositions of the graph $K_m[n]$, the complete multipartite graph with $m$ parts of size $n$, and give necessary and sufficient conditions for their existence in the case that $2\ell \mid (m-1)n$

The Use of Barbed Suture for Intracorporeal Mechanical Anastomosis During a Totally Laparoscopic Right Colectomy: Is It Safe? A Retrospective Nonrandomized Comparative Multicenter Study

Background. A totally laparoscopic right colectomy could be perceived as a more challenging procedure over a laparoscopic-assisted right colectomy owing to the difficulty of intracorporeal anastomosis and the closure of the enterotomy. The aim of this study is to evaluate the safety and efficacy of the barbed auto-locking absorbable suture for the closure of an anastomotic stapler-access enterotomy during a totally laparoscopic right colectomy. Methods. From January 2010 to April 2016, data from patients who had undergone a laparoscopic right colectomy in 2 different departments of 2 institutions (the Department of General and Minimally Invasive Surgery, San Camillo Hospital in Trento and the Department of Surgical Specialties and Nephrology, University Federico II in Naples) were retrospectively analyzed. We compared the data of patients in whom the stapler-access enterotomy was closed through a conventional absorbable suture (Group A), with the data of patients in whom a stapler-access enterotomy was closed through a V-Loc 180 suture (Group B). Biometric features and intraoperative and postoperative data were collected and analyzed. Results. The 2 groups (Group A: 40 patients; Group B: 40 patients) were comparable for biometric features and postoperative outcomes. The anastomosing time was lower in Group B. A statistically significant difference was noted in the mean operative time between Groups A and B (Group A = 134.92 ± 34.17; Group B = 120.92 ± 23.27, P =.035). Only one anastomotic leakage per group was recorded, each treated with an anastomosis redo. During the reoperations, we find in both groups an intact stapler-access enterotomy. Conclusion. On retrospective analysis, barbed suture appears to be safe and efficient for closure of the stapler-access enterotomy during totally laparoscopic right colectomy

A Novel Hierarchy of Integrable Lattices

In the framework of the reduction technique for Poisson-Nijenhuis structures, we derive a new hierarchy of integrable lattice, whose continuum limit is the AKNS hierarchy. In contrast with other differential-difference versions of the AKNS system, our hierarchy is endowed with a canonical Poisson structure and, moreover, it admits a vector generalisation. We also solve the associated spectral problem and explicity contruct action-angle variables through the r-matrix approach.Comment: Latex fil

How Politics Shape Views Toward Fact-Checking: Evidence from Six European Countries

This is the author accepted manuscript. The final version is available from SAGE Publications via the DOI in this recordFact-checking has spread internationally, in part to confront the rise of digital disinformation campaigns. American studies suggests ideological asymmetry in attitudes towards factchecking, as well as greater acceptance of the practice among those more interested in and knowledgeable about politics. We examine attitudes toward fact-checking across 6 European counties to put these findings in a broader context (N = 6,067). We find greater familiarity with and acceptance of fact-checking in Northern Europe (Sweden, Germany) than elsewhere (Italy, Spain, France, Poland). We further find two dimensions of political antipathy: a left-right dimension and an “anti-elite” dimension (including dissatisfaction with democracy and negative feelings toward the E.U.), the latter of which more consistently predicts negative feelings toward fact-checkers in the countries examined. Our findings demonstrate that despite general acceptance of the movement, significant political divides remain. Those less likely to trust factcheckers could be more vulnerable to disinformation targeting these divides, leading to a spiral of cynicism.European Commissio

First-Order Phase Transition in Potts Models with finite-range interactions

We consider the $Q$-state Potts model on $\mathbb Z^d$, $Q\ge 3$, $d\ge 2$, with Kac ferromagnetic interactions and scaling parameter \ga. We prove the existence of a first order phase transition for large but finite potential ranges. More precisely we prove that for \ga small enough there is a value of the temperature at which coexist $Q+1$ Gibbs states. The proof is obtained by a perturbation around mean-field using Pirogov-Sinai theory. The result is valid in particular for $d=2$, Q=3, in contrast with the case of nearest-neighbor interactions for which available results indicate a second order phase transition. Putting both results together provides an example of a system which undergoes a transition from second to first order phase transition by changing only the finite range of the interaction.Comment: Soumis pour publication a Journal of statistical physics - version r\'{e}vis\'{e}

Redefining cutaneous lupus erythematosus: a proposed international consensus approach and results of a preliminary questionnaire

There is currently no uniform definition of cutaneous lupus erythematosus (CLE) upon which to base a study population for observational and interventional trials. A preliminary questionnaire was derived from and sent to a panel of CLE experts which demonstrated consensus agreement that (1) there is a need for new definitions for CLE (2) CLE is distinct from systemic lupus erythematosus and that a CLE grouping scheme should remain apart from current systemic lupus erythematosus schema (3) current CLE grouping schemes are inadequate around communication, prognostic information and to meet the needs of researchers, clinicians, patients and payers

Patient-reported outcomes data in patients with psoriatic arthritis from a randomised trial of etanercept and methotrexate as monotherapy or in combination.

OBJECTIVES: We examined patient-reported outcomes (PROs) in The Study of Etanercept And Methotrexate in Patients with Psoriatic Arthritis (PsA); a 48-week, phase 3, randomised controlled trial that compared outcomes with methotrexate (MTX) monotherapy, etanercept monotherapy, and MTX+ etanercept in patients with PsA. METHODS: Efficacy endpoints included: mean changes from baseline and proportion of patients who reported improvements≥minimal clinically important difference (MCID) at week 24 in treatment groups for Health Assessment Questionnaire-Disability Index, Patient Global Assessment (PtGA), Patient Global Assessment of Joint Pain (PtGAJP) and Medical Outcomes Study Short Form-36 Questionnaire (SF-36) Physical Component Summary (PCS), and Mental Component Summary, and eight domain scores. PROs were analysed as reported (observed), without multiplicity adjustment; therefore, p values are descriptive. RESULTS: At week 24, patients receiving etanercept monotherapy or MTX+ etanercept combination reported greater improvements (p≤0.05) in PtGA, PtGAJP and SF-36 PCS scores compared with those receiving MTX monotherapy. Compared with MTX monotherapy, higher proportions of patients receiving etanercept monotherapy and combination therapy reported improvements≥MCID in PtGA (etanercept vs MTX, p=0.005) and PtGAJP (MTX +etanercept vs MTX, p=0.038). Across PROs, proportions of patients reporting scores≥age and gender-matched normative values at week 24 ranged from 20.8% to 51.0% with MTX monotherapy, 30.9% to 48.8% with etanercept monotherapy, and 30.6% to 52.3% with MTX+ etanercept combination. CONCLUSIONS: Patients receiving etanercept monotherapy or MTX+ etanercept reported greater improvements from baseline in several PROs compared with those receiving MTX monotherapy. PROs should be incorporated in discussions between patients and clinicians regarding their treatment choices as they can help determine which treatments are more beneficial in patients with PsA

Machine learning applied to ambulatory blood pressure monitoring: a new tool to diagnose autonomic failure?

BACKGROUND: Autonomic failure (AF) complicates Parkinson’s disease (PD) in one-third of cases, resulting in complex blood pressure (BP) abnormalities. While autonomic testing represents the diagnostic gold standard for AF, accessibility to this examination remains limited to a few tertiary referral centers. OBJECTIVE: The present study sought to investigate the accuracy of a machine learning algorithm applied to 24-h ambulatory BP monitoring (ABPM) as a tool to facilitate the diagnosis of AF in patients with PD. METHODS: Consecutive PD patients naïve to vasoactive medications underwent 24 h-ABPM and autonomic testing. The diagnostic accuracy of a Linear Discriminant Analysis (LDA) model exploiting ABPM parameters was compared to autonomic testing (as per a modified version of the Composite Autonomic Symptom Score not including the sudomotor score) in the diagnosis of AF. RESULTS: The study population consisted of n = 80 PD patients (33% female) with a mean age of 64 ± 10 years old and disease duration of 6.2 ± 4 years. The prevalence of AF at the autonomic testing was 36%. The LDA model showed 91.3% accuracy (98.0% specificity, 79.3% sensitivity) in predicting AF, significantly higher than any of the ABPM variables considered individually (hypotensive episodes = 82%; reverse dipping = 79%; awakening hypotension = 74%). CONCLUSION: LDA model based on 24-h ABPM parameters can effectively predict AF, allowing greater accessibility to an accurate and easy to administer test for AF. Potential applications range from systematic AF screening to monitoring and treating blood pressure dysregulation caused by PD and other neurodegenerative disorders

FHIR-DHP: A standardized clinical data harmonisation pipeline for scalable AI application deployment

Background Increasing digitalisation in the medical domain gives rise to large amounts of healthcare data which has the potential to expand clinical knowledge and transform patient care if leveraged through artificial intelligence (AI). Yet, big data and AI oftentimes cannot unlock their full potential at scale, owing to non-standardised data formats, lack of technical and semantic data interoperability, and limited cooperation between stakeholders in the healthcare system. Despite the existence of standardised data formats for the medical domain, such as Fast Healthcare Interoperability Resources (FHIR), their prevalence and usability for AI remains limited.Objective We developed a data harmonisation pipeline (DHP) for clinical data sets relying on the common FHIR data standard.Methods We validated the performance and usability of our FHIR-DHP with data from the MIMIC IV database including > 40,000 patients admitted to an intensive care unit.Results We present the FHIR-DHP workflow in respect of transformation of “raw” hospital records into a harmonised, AI-friendly data representation. The pipeline consists of five key preprocessing steps: querying of data from hospital database, FHIR mapping, syntactic validation, transfer of harmonised data into the patient-model database and export of data in an AI-friendly format for further medical applications. A detailed example of FHIR-DHP execution was presented for clinical diagnoses records.Conclusions Our approach enables scalable and needs-driven data modelling of large and heterogenous clinical data sets. The FHIR-DHP is a pivotal step towards increasing cooperation, interoperability and quality of patient care in the clinical routine and for medical research